recursive estimator
C40683
concept
A recursive estimator is an algorithm that incrementally updates its estimate of an unknown quantity as new data arrive, using the previous estimate and current observation without reprocessing all past data.
All labels observed (2)
| Label | Occurrences |
|---|---|
| recursive estimator canonical | 2 |
| iterative algorithm | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: recursive estimator
Generated description
A recursive estimator is an algorithm that incrementally updates its estimate of an unknown quantity as new data arrive, using the previous estimate and current observation without reprocessing all past data.
Instances (3)
| Instance | Via concept surface |
|---|---|
| Robbins–Monro algorithm | iterative algorithm |
| extended Kalman filter | — |
| unscented Kalman filter | — |